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MLDM
2005
Springer
15 years 7 months ago
A Grouping Method for Categorical Attributes Having Very Large Number of Values
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
Marc Boullé
CHI
2003
ACM
15 years 7 months ago
Assessing the value of a cursor pointing device for remote collaboration on physical tasks
This study assessed the value of a cursor pointer that allows remote collaborators to point to locations in a partner’s workspace via a shared video feed. We compared performanc...
Susan R. Fussell, Leslie D. Setlock, Elizabeth M. ...
PCI
2001
Springer
15 years 6 months ago
An Experimental Evaluation of a Monte-Carlo Algorithm for Singular Value Decomposition
We demonstrate that an algorithm proposed by Drineas et. al. in [7] to approximate the singular vectors/values of a matrix A, is not only of theoretical interest but also a fast, v...
Petros Drineas, Eleni Drinea, Patrick S. Huggins
PERCOM
2010
ACM
15 years 11 days ago
Faster Bayesian context inference by using dynamic value ranges
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
Korbinian Frank, Patrick Robertson, Sergio Fortes ...
JMLR
2010
144views more  JMLR 2010»
14 years 8 months ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko